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iKrux - Big Data Engineer - Python / Scala

iKrux - Big Data Engineer - Python / Scala

Ikrux EngineeeringPune
15 days ago
Job description

We are seeking a highly skilled and motivated Big Data Engineer with strong experience in building, optimizing, and managing large-scale data processing pipelines. The ideal candidate will have hands-on expertise in Scala, Python, Apache Spark, Kafka, and / or Apache NiFi, and will work closely with cross-functional teams to design and implement scalable data solutions that drive business intelligence and analytics.

Key Responsibilities :

  • Design, build, and maintain large-scale distributed data processing systems using Spark, Kafka, and / or NiFi.
  • Write efficient and reusable code in Scala and Python for data transformation, ingestion, and enrichment.
  • Collaborate with data scientists, analysts, and engineers to ensure data quality, consistency, and availability.
  • Optimize data pipelines for performance, reliability, and scalability.
  • Integrate diverse data sources, ensuring data governance and security compliance.
  • Monitor and troubleshoot data workflows, resolving bottlenecks and issues.
  • Participate in code reviews, architecture discussions, and best practice development.
  • Stay updated on emerging big data technologies and frameworks to continuously improve system efficiency.

Required Skills and Experience :

  • Strong programming experience in Scala and Python for data engineering.
  • Extensive experience with Apache Spark, including optimization, tuning, and resource management.
  • Hands-on experience with Kafka for real-time data streaming and messaging systems.
  • Experience with Apache NiFi for data flow automation and integration.
  • Working knowledge of Hadoop ecosystem components is a plus.
  • Understanding of cloud-based data solutions (AWS, Azure, or GCP) is desirable.
  • Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
  • Experience in working with data warehousing solutions and ETL pipelines.
  • Good analytical, problem-solving, and debugging skills.
  • Excellent communication and teamwork abilities.
  • (ref : hirist.tech)

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